• Data Scientist and Machine Learning Researcher

About Us

Who Am I?

I am a 5th year PhD student in Computer Science at University of California Irvine. My research interests fall in broad areas of machine learning problems, including convex optimization algorithms, multi-variate time series forecasting, deep learning and natural language processing.

Theory of Optimization

Data Science

Time Series Forecasting

Deep Learning

My Specialty

My Skills










Studying a broad range of optimization algorithms, machine learning and data science problems.

Amirkabir University, Iran, 2011-2013

  • Research Areas: Machine Learning in Transportation Problems
  • Thesis: A rule-based induction system for traffic safety prediction via decision trees.

Amirkabir University, Iran, 2007-2011

  • Research Areas: Search Engine Optimization and Data Mining
  • Thesis: A data mining query language API for SQL server

Experiences, Publications and Projects

Work Experience

Deep Learning for Time Series Forecasting

As the dimension of time series data has been growing recently, deep learning becomes an strong technique for time series forecasting problems. We explore on the architecture of deep learning models for traffic flow forecasting problem.

Deep learning for stock market prediction via daily news

Daily news has an impact on stock market prediction problem. We developed a deep learning architecture which capture the effect of daily news along with stock market time series data, and apply natural language processing techniques on news data.

Personalized News recommendation

Growing number of news data increase the demand of having a personalized news recommendation, based on user interactionas and similarities.